Socialising Around Media (SAM): Dynamic Social and Media Content Syndication for Second Screen

Today's generation of Internet devices has changed how users are interacting with media, from passive and unidirectional users to proactive and interactive. Users can use these devices to comment or rate a TV show and search for related information regarding characters, facts or personalities. This phenomenon is known as second screen. This paper describes SAM, an EU-funded research project that focuses on developing an advanced digital media delivery platform based on second screen interaction and content syndication within a social media context, providing open and standardised ways of characterising, discovering and syndicating digital assets. This work provides an overview of the project and its main objectives, focusing on the NLP challenges to be faced and the technologies developed so far.

An approach based on Logic Forms and WordNet relationships to Textual Entailment performance

This paper outlines the approach adopted by the PLSI research group at University of Alicante in the PASCAL-2006 second Recognising Textual Entailment challenge. Our system is composed of several components. On the one hand, the first component performs the derivation of the logic forms of the text/hypothesis pairs and, on the other hand, the second component provides us with a similarity score given by the semantic relations between the derived logic forms. In order to obtain this score we apply several measures of similitude and relatedness based on the structure and content of WordNet.

Gender sensitivity in national health plans in Latin America and the European Union

Objectives: To evaluate the situation regarding gender sensitivity in national health plans in Latin America and the European Union for the decade 2000–2010. Methods: A systematic search and content analysis of national health plans were carried out within 37 countries. Gender sensitivity, defined as the extent to which a health plan considers gender as a central category and develops measures to reduce any gender-related inequalities, was analysed through an ad hoc checklist. Results: The description of health problems by sex was more frequent than intervention proposals aimed at reducing gender health disparities. The greatest number of specific intervention proposals targeted at overcoming gender-based health inequalities were associated with sexual and/or reproductive health, gender based violence, the working environment and human resources training. Compared to the European Union member states, Latin American health plans were found to be generally more gender sensitive. Conclusions: National health plans are still generally lacking in gender sensitivity. Disparities exist in health policy formulation in favour of men, whilst women's health continues to be identified mainly with reproductive health. If gender sensitivity is not taken into account, efforts to improve the quality of clinical care will be insufficient as gender inequalities will persist.

Detecting implicit expressions of affect in text using EmotiNet and its extensions

In the past years, an important volume of research in Natural Language Processing has concentrated on the development of automatic systems to deal with affect in text. The different approaches considered dealt mostly with explicit expressions of emotion, at word level. Nevertheless, expressions of emotion are often implicit, inferrable from situations that have an affective meaning. Dealing with this phenomenon requires automatic systems to have “knowledge” on the situation, and the concepts it describes and their interaction, to be able to “judge” it, in the same manner as a person would. This necessity motivated us to develop the EmotiNet knowledge base — a resource for the detection of emotion from text based on commonsense knowledge on concepts, their interaction and their affective consequence. In this article, we briefly present the process undergone to build EmotiNet and subsequently propose methods to extend the knowledge it contains. We further on analyse the performance of implicit affect detection using this resource. We compare the results obtained with EmotiNet to the use of alternative methods for affect detection. Following the evaluations, we conclude that the structure and content of EmotiNet are appropriate to address the automatic treatment of implicitly expressed affect, that the knowledge it contains can be easily extended and that overall, methods employing EmotiNet obtain better results than traditional emotion detection approaches.

Women's Songs. The Lullaby in the Spanish Autonomous Region of Valencia

A lullaby is a song performed almost exclusively by women in all cultures to make children fall asleep. But traditional lullaby singing has declined due to social change. This study analyzes its structure and content thoroughly and aspects of this tradition providing information on usage, customs, themes and types of melody, and reflecting the importance of this form of cultural expression.